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Reconstructing growth and dynamic trajectories from single-cell transcriptomics data - Nature Machine Intelligence
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Time-series single-cell RNA sequencing (scRNA-seq) datasets provide unprecedented opportunities to learn dynamic processes of cellular systems. Due to the destructive nature of sequencing, it remains challenging to link the scRNA-seq snapshots sampled at different time points.
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